Wireless Sensor Networks (WSNs) are becoming increasingly popular, and very useful in military applications and environmental monitoring. However, security is a major challenge for WSNs because they are usually setup in unprotected environments. Our goal in this study is to simulate an Intrusion Detection System (IDS) that monitors the WSN and report intrusions accurately and effectively. We have thus simulated an IDS that uses anomaly-based technique to monitor traffic pattern on the network following a fixed-width clustering algorithm. Our simulation is based on the sensor network simulation package by the Naval Research laboratory (NRL). To evaluate the IDS, we simulated a sensor network, investigated it with the presence of phenomenon, and extended it to generate denial of service attacks. We have used the phenomenon contribution to generate a realistic traffic pattern for accurate evaluation of protocols, and compared it to the traditional method of using only cbr traffic, which is usually been employed by most researchers. We further adapted the IDS into this simulated network, and our results show that the selected IDS has detection rate of over 90% with a very low false positive rate of less than 1%. We obtained this by configuring every node to independently monitor detect and report intrusions.
Adaobi, O., Ghassemian, M. (2011). Evaluation of an Intrusion Detection System for Routing Attacks in Wireless Self-organised Networks. International Journal of Communications and Information Technology, 1(1), 16-20. doi: 10.22111/cit.2011.88
MLA
O. Adaobi; M. Ghassemian. "Evaluation of an Intrusion Detection System for Routing Attacks in Wireless Self-organised Networks". International Journal of Communications and Information Technology, 1, 1, 2011, 16-20. doi: 10.22111/cit.2011.88
HARVARD
Adaobi, O., Ghassemian, M. (2011). 'Evaluation of an Intrusion Detection System for Routing Attacks in Wireless Self-organised Networks', International Journal of Communications and Information Technology, 1(1), pp. 16-20. doi: 10.22111/cit.2011.88
VANCOUVER
Adaobi, O., Ghassemian, M. Evaluation of an Intrusion Detection System for Routing Attacks in Wireless Self-organised Networks. International Journal of Communications and Information Technology, 2011; 1(1): 16-20. doi: 10.22111/cit.2011.88